JP2001167114A - Document processor, document processing method and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To properly present copyright information concerning an electronic document. SOLUTION: A document processing system is provided with a summary preparing means capable of preparing a summary sentence concerning the electronic document and an output control means which performs control for presenting and outputting the summary sentence prepared by the summary preparing means and also performs control for presenting and outputting copyright information shown by a tag when the tag showing the copyright information is added to the electronic document to be the source of the summary. When the tag showing the copyright information is added to the electronic document to be the source for preparing the summary sentence, the summary preparing means adds the tag showing the copyright information to the prepared summary sentence.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document processing apparatus for performing various processes on an electronic document, and a document processing method and a recording medium applicable to the document processing apparatus.

[0002]

2. Description of the Related Art Conventionally, WWW (World Wide Web) has been provided as an application service for providing hypertext information in a window format on the Internet.

[0003] The WWW is a system for executing document processing for creating, publishing, or sharing a document, and showing the way of a new style document. However, from the viewpoint of practical use of documents, advanced document processing beyond WWW, such as classification and summarization of documents based on the contents of the documents, is required. For such advanced document processing, mechanical processing of the contents of the document is indispensable.

However, mechanical processing of the contents of a document is still difficult for the following reasons. First
HTML, a language that describes hypertext
(Hyper Text Markup Language) specifies the expression of a document, but hardly specifies the content of the document. Second, a network of hypertexts formed between documents is not always easy for a reader of the document to understand the contents of the document. Third
In general, the author of a document writes without considering the convenience of the reader, but the convenience of the reader of the document is not adjusted to the convenience of the author.

[0005] As described above, the WWW is a system showing the way of a new document. However, since the document is not mechanically processed, advanced document processing cannot be performed.
In other words, in order to perform advanced document processing, it is necessary to process the document mechanically.

Therefore, a system for supporting mechanical processing of documents has been developed based on the results of natural language research, with the goal of mechanical processing of documents. As a document processing based on natural language research, mechanical document processing using tags attached to a document has been proposed on the assumption that attribute information about the internal structure of the document by the author of the document, so-called tags are added. I have.

[0007]

By the way, with the recent spread of computers and the progress of networking, text processing, creation of text documents, labeling, change, and the like have been performed by using an index depending on the contents of the documents. There is a demand for enhanced document processing to be performed. For example, it is desired to summarize a document or classify a document according to a user's request.

However, as various document processing functions are enhanced and diversified, editing from the original electronic document data becomes easy, and derivative electronic document data represented by a summary sentence becomes various. Will be generated. Further, with the development of communication systems, electronic document data including derivative electronic document data can be transmitted easily and in a short time. Under these circumstances, for example, the copyright of the original electronic document data creator may be infringed in some form. For this reason, information on the copyright is provided, especially for derivative electronic document data. We need to be able to do that.

[0009]

SUMMARY OF THE INVENTION The present invention has been proposed in view of such circumstances, and has been developed in view of the above circumstances. A document processing apparatus for presenting information on the copyright of an electronic document to a user is provided. The purpose is to provide.

For this reason, the document processing apparatus of the present invention performs a summary creation unit capable of creating a summary sentence for an electronic document, and controls the presentation and output of the summary sentence created by the summary creation unit. Output control means for performing control so that the copyright information indicated by the tag is also presented and output when a tag indicating copyright information is added to the electronic document that is the source of the summary sentence. I do. Further, when the tag indicating the copyright information is added to the electronic document from which the abstract is created, the abstract creating means may add the tag indicating the copyright information to the created abstract. .

According to the document processing method of the present invention, an abstract creation procedure for creating an abstract sentence of an electronic document, an abstract sentence created in the abstract creation procedure are presented and output, and an electronic document serving as the source of the abstract sentence is provided. If a tag indicating copyright information is added to the file, an output control procedure for presenting and outputting the copyright information indicated by the tag is performed. In the summary creation procedure, when a tag indicating copyright information is added to the electronic document from which the summary is created, a tag indicating copyright information is added to the created summary. It is assumed that the recording medium of the present invention stores an operation control program for executing the operation of the document processing method.

[0012]

Embodiments of the present invention will be described below in the following order. 1. 1. Configuration of document processing system 2. Configuration of document processing device 3. Document data structure 4. Manual Classification Processing for Document Data 4-1 Processing Procedure 4-2 Index Creation 4-3 Document Browsing / Creation Creation / Classification Operation 4-4 Classification Model Creation / Registration 5. Automatic classification processing for document data 5-1 Processing procedure 5-2 Automatic classification 6. Summary creation / display processing Functional block configuration of document processing device

1. 1. Configuration of Document Processing System FIG. 1 shows a configuration example of a document processing system including the document processing apparatus according to the embodiment. This document processing system mainly includes a document processing device 1, an authoring device 2, a server 3, a document provider 4, and the like.

FIG. 1 shows the functions of each unit. The document processing apparatus 1, the authoring apparatus 2, the server 3,
All of the document providers 4 have a receiving / transmitting function, and can communicate information with each other as shown by a solid line or a broken line in the figure.

The communication line 6 indicated by a solid line indicates a wired (for example, general public line, dedicated communication line, the Internet, etc.) or wireless (for example, satellite communication, wireless telephone line, etc.) communication line. The broken line indicates the transmission of information by the portable recording medium 32, and may be a disk-shaped recording medium such as an optical disk, a magneto-optical disk, or a magnetic disk, or a memory card mounted with a flash memory or the like, or a tape medium. Corresponds to the recording medium. That is, each unit shown can mutually transmit an electronic document, an electronic document with a tag, an identifier, and other various control data via the communication line 6 or the recording medium 32.
In the present system, the electronic document is tagged by the authoring device 2 to generate a tagged electronic document. The original electronic document without the tag is "plain text" and the tag is added. Electronic documents as "tag files"
I mean.

The document provider 4 is a part that provides original text data as a document to be provided, that is, plain text that is ordinary document data to which tags and the like described below are not added. The document provider 4 has a plain text storage function, and stores the stored plain text into the server 3 via the communication line 6 or the recording medium 32.
Alternatively, it can be transmitted to the authoring device 2. It also has a document creation function and can create plain text.
However, the document provider 4 does not necessarily need to have a document creation function. That is, the document provider 4 only needs to be a part that can provide plain text.
The plain text received from a document creator outside the system via the communication line 6 or the recording medium 32 may be provided.

The authoring device 2 includes a document provider 4
Alternatively, it is a part that performs an authoring process on the plain text provided from the server 3 via the communication line 6 or the recording medium 32 to generate a tag file. The generated tag file is transmitted to the server 3 via the communication line 6 or the recording medium 32, and stored in the database in the server 3.

The authoring apparatus 2 has an authoring function for performing the above-mentioned authoring process, receives / requests a plain text to be authored, requests a search of the database of the server 3, and generates generated tags. It has an authoring control function for executing control such as transmission of a file to the server 3 and realizing an efficient authoring operation. In addition, a billing function is provided, and the authoring operation is billed to the document provider 4 with the authoring operation.

Although not shown, the authoring apparatus 2 is provided with a document creation function so that a plain text is generated without receiving a supply of the plain text from the document provider 4. The tag file may be generated by performing an authoring process.

In the authoring device 2, an operation control program for realizing an authoring function, a billing function, a reception / transmission function, and an authoring control function is prepared. The operation control program is stored in advance in the device. Alternatively, the program may be downloaded from outside the system via the communication line 6 or provided by the recording medium 32. For example, a general-purpose personal computer can be applied as an authoring device by receiving the information from outside the system.

The server 3 has a database in which plain text sent from the document provider 4 and tag files sent from the authoring device 2 are stored. Document data (tag file or plain text) stored in the database is
Based on the management of the server 3, the document is provided to the general user's document processing apparatus 1 via the recording medium 32 such as a floppy disk or an optical disk or the communication line 6. The server 3 also has a search function for the database.

On the general user side, by using the document processing apparatus 1 having a document processing function, various processes are performed on the document data provided from the server 3 as described later to obtain various and sophisticated document information. Can be.

The system configuration shown in FIG. 1 is only one model for explanation, and the actual system configuration can be variously considered. For example, various configuration examples are conceivable, such as a large number of document providers 4, an authoring device 2, a server 3, and the like, or an authoring device 2 built on the server 3 side.

2. Configuration of Document Processing Apparatus A description will be given of the document processing apparatus 1 which receives the provision of document data in the document processing system.

As shown in FIG. 2, the document processing apparatus 1 has a main unit 10 having a control unit 11 and an interface 12.
And an input unit 2 which receives an input from a user and sends it to the main body 10
0, a communication unit 21 for transmitting and receiving signals to and from the outside, a display unit 30 for displaying an output from the main body 10, a recording medium 32
A recording / reproducing unit 31 for recording / reproducing information with respect to the HDD, an audio output unit 33, an HDD (hard disk drive)
Four.

The main body 10 has a control unit 11 and an interface 12, and constitutes a main part of the document processing apparatus 1. The control unit 11 has a CPU 13 that executes processing in the document processing apparatus 1, a RAM 14 that is a volatile memory, and a ROM 15 that is a non-volatile memory. The CPU 13 temporarily stores data, if necessary, in the RAM 14 according to a procedure recorded in the ROM 15, for example, and performs control for executing the program. The operation of the control unit 11 is as follows.
For example, there are a classification process for the supplied document data, a summary creation process, a process of generating a speech reading file for a reading operation, and a document analysis required for these processes. Programs and application software necessary for these operations are stored in the ROM 15 or the HDD 3
4 or stored in the recording medium 32. Note that the document processing program used by the control unit 11 may be stored in the ROM 15 in advance as described above, or may be fetched from the recording medium 32 or the HDD 34.
For example, a document processing program provided by an external server or the like may be downloaded from a network such as the Internet via the communication unit 21 (communication line 6).

The interface 12 includes a control unit 11, an input unit 20, a communication unit 21, a display unit 30, and a recording / reproducing unit 3.
1. Connected to the audio output unit 33 and HDD. Under the control of the control unit 11, the interface 12 inputs data from the input unit 20, inputs and outputs data to and from the communication unit 21, outputs data to the display unit 30, and controls the recording / reproducing unit 31. Each operation of data input / output, data output to the audio output unit 33, and data input / output to the HDD 34 is performed. More specifically, it adjusts the timing of data input / output between the control unit 11 and each of the above units, converts the format of data, and the like.

The input section 20 is a section for receiving a user input to the document processing apparatus 1. This input unit 20
Is composed of, for example, a keyboard and a mouse. The user uses the input unit 20 to input characters such as keywords using a keyboard, or to display the display unit 30 using a mouse.
For example, the user can select an element of the electronic document that is displayed in. In the following, the document data (such as a tag file) handled by the document processing apparatus 1 may be simply referred to as a “document”. The “element” is an element constituting a document, and includes, for example, a document, a sentence, and a word.

The communication unit 21 is a unit that receives a signal transmitted from the outside to the document processing apparatus 1 via, for example, the communication line 6 and transmits a signal to the communication line 6. The communication unit 21 receives, for example, one or a plurality of document data (tag files) transmitted from the server 3 and sends the received data to the main body 10. Of course, it is also possible to transmit data to an external device via the communication line 6.

The display section 30 is a section for displaying characters and image information as an output of the document processing apparatus 1. The display unit 30 is, for example, a cathode ray tube (CR).
T), a liquid crystal display (LCD), or the like, for example, displays one or more windows, and displays characters, figures, and the like on these windows.

The recording / reproducing unit 31 includes a recording medium 32 such as a floppy (registered trademark) disk or an optical disk.
Record / reproduce the data. Here, a floppy disk (magnetic disk) and an optical disk are taken as examples of the recording medium 32. However, as described above, if a portable medium such as a magneto-optical disk, a memory card, and a magnetic tape is used, recording is possible. It can be applied as an example of the medium 32. The recording / reproducing unit 31 may be any recording / reproducing device (disk drive, card drive, etc.) corresponding to the medium.

If the recording medium 32 has recorded therein a document processing program for processing a document,
The recording / reproducing unit 31 can read out the document processing program from the recording medium 32 and supply it to the control unit 11. If document data is recorded on the recording medium 32, the recording / reproducing unit 31 can read it out and supply it to the control unit 11. That is, for the document processing apparatus 1,
This is an input mode of the document data different from the reception of the document data by the communication unit 21. Further, the control unit 11 can cause the recording / reproducing unit 31 to record the document data processed by the document processing apparatus 1 on the recording medium 32.

The voice output section 33 is a section for outputting a document as an output of the document processing apparatus 1 as a reading voice. That is, when a voice signal generated by a voice synthesis process based on document information (a reading file to be described later) is supplied by the control unit 11, the voice output unit 33 performs output processing of the voice signal to perform display. Together with the unit 30, it functions as an output unit of the document processing apparatus 1.

The HDD 34 provides a large-capacity recording area in the document processing apparatus 1. The HDD 34 includes the control unit 11
The recording / reproduction of information is performed based on the control of. This HDD
Reference numeral 34 is used to store an application program for various processes executed by the control unit 11, for example, a program for speech synthesis, or stores, for example, document data or the like taken into the document processing apparatus 1. It can be used as a part to be kept.

3. Document Data Structure Next, the structure of document data in this example will be described. In this example, document processing is performed with reference to a tag that is attribute information assigned to the document. The tags used in this example include syntactic
c) There are tags and semantic / pragmatic tags that enable mechanical understanding of the content of documents between multiple languages.

Some syntactic tags describe the internal structure of a document. As shown in FIG. 3, the internal structure by tagging is configured such that each element such as a document, a sentence, and a vocabulary element is linked to each other by a normal link and a reference / referenced link. In the figure, a white circle “○” indicates an element, and the lowest white circle is a vocabulary element corresponding to the minimum level word in the document. The solid line is a normal link indicating a connection between elements such as a document, a sentence, and a vocabulary element, and the dashed line is a reference link indicating a dependency relationship by reference / reference. The internal structure of a document is document (documemt), subdivision (subdivision), paragraph (paragraph), sentence (sentenc
e), subsentential segment (subsentential s
egment), ..., vocabulary elements. Of these, subdivisions and paragraphs are optional.

On the other hand, as a semantic / pragmatic tagging, there is a method of describing information such as a meaning like a meaning of a polysemy. Tagging in this example is performed by HTML (Hyper Te
XML (Extensible Mar) similar to xt Markup Language
kup Language).

An example of tagging is shown below, but tagging a document is not limited to this method. In the following, examples of English and Japanese documents are shown, but the description of the internal structure by tagging can be similarly applied to other languages.

For example, "Time flies like an arro
The sentence "w." can be tagged as follows. <> is a tag added to the document.

<Sentence> <noun phrase meaning = “time0”> time </ noun phrase> <verb phrase> <verb meaning = “fly1”> flies <// verb> <adverb phrase> <adverb meaning = like0> like < / Adverb> <noun phrase> an <noun meaning = “arrow0”> arrow </ noun> </ noun phrase> </ adverb phrase> </ verb phrase>. </ Sentence>

Here, <sentence>, <noun>, <noun phrase>, <
Verbs, <verb phrases>, <adverbs>, <adverb phrases> are sentences, nouns, noun phrases, verbs, verb phrases, adjectives / adverbs (including prepositional or postpositional phrases), adjective phrases / adverbial phrases, respectively. Is shown. In other words, the syntactic structur of a sentence
e).

These tags are arranged immediately before the front end and immediately after the end of the element. The tag placed immediately after the end of the element indicates that it is the end of the element by the symbol "/". Elements are syntactic constructs: phrases, clauses, and sentences. Note that the meaning (word sense) = “time0” corresponds to the word “ti”.
It refers to the plural meanings of “me”, that is, the 0th meaning of the plural meanings.
Has at least the meanings of a noun, adjective, and verb. Here, it indicates that the word "time" is a noun (= the 0th meaning). Similarly, the word "orange" has at least the meaning of plant name, color, and fruit, but these can also be distinguished by their meaning.

In this example, the syntactic structure of the document data can be displayed in the window 101 on the display unit 30, as shown in FIG. In this window 101, vocabulary elements are displayed on the right half 103, and the internal structure of the sentence is displayed on the left half 102.

For example, as shown in FIG.
1 has a sentence “A” in which the internal structure is described by tagging.
In C City, where his B meeting was over, some popular and general newspapers have stated on paper that they will voluntarily regulate their photographic coverage. Is displayed. An example of tagging this document is as follows:

<Document><sentence><adverb phrase relation = “place”
><Nounphrase><adverb phrase phrase = “C city”><adverb phrase relation = “subject”><noun phrase identifier = “B
Kai ”><adverb phrase relation =“ owned ”><person name identifier =
"Mr. A"> Mr. A </ personal name></ adverb phrase><organization name identifier = "B association"> B association </ organization name></ noun phrase></ adverb phrase> finished </ adverb Phrase><place name identifier = “C city”> C city </ place name></ noun phrase>, </ adverb phrase><adverb phrase relation = “subject”><noun phrase identifier = “press” syntactic = “parallel” "><Nounphrase><adverbphrase> Some </ adverb phrase> popular paper </ noun phrase> and <noun> general paper </ noun><
/ Noun phrase> is </ Adverb phrase><Adverbphrase> Relation = "Object"><Adverb phrase Relationship = "Content" Subject = "press"><Adverb phrase Relation = "Object"><Nounphrase><AdverbPhrase><
Noun co-reference = "B-kai"></noun></ adverb phrase> Photo coverage </ noun phrase></ adverb phrase> Self-regulating </ adverb phrase> Policy </ adverb phrase> Phrase Relation = "Position"> On paper </ Adverb phrase> Clarified. </ Text></text>

By being tagged in this way, the structure of the document is represented by each pair of tags <> to </>. For example, <document> to </ document> indicates the range of one document, and similarly, <sentence> to </ sentence> indicates the range of one sentence. Also, for example, <Noun phrase identifier = “B meeting”>
According to </ noun phrase>, the part "Mr. A's B meeting"
It is expressed as a noun phrase with "kai" as the identifier. That is, the internal structure of the sentence shown on the left half surface 102 in FIG. 4 is expressed by the tagging.

Further, in this document, "part of popular paper and general paper" is expressed in parallel by a tag of syntactic = "parallel". The definition of parallel is to share a dependency relationship. If nothing is specified, for example, <noun phrase relation = x><noun> A </ noun><noun> B </ noun></ noun phrase> indicates that A has a dependency on B Represent. Relation = x represents a relation attribute.

The relation attribute describes the interaction between syntactic, meaning, and rhetorical. Grammar functions such as subjects, objects, and indirect objects, subject roles such as an actor, a subject, a beneficiary, etc., and rhetorical relations such as a reason and a result are described by the relation attributes. In this example, the subject, object,
Describe relative attributes for relatively easy grammar functions such as indirect objects.

In this document, “Mr. A”,
For proper nouns such as "B Association" and "C City", place names,
Attributes are described by tags such as person names and organization names. By adding tags such as place name, person name, organization name, etc.,
It is expressed that the word is a proper noun.

4. Manual Classification Processing on Document Data 4-1 Processing Procedure In the document processing apparatus 1 of this example, when document data is taken in from the outside by, for example, the communication unit 21 (or the recording / reproducing unit 31), the document data is converted according to the content. Perform classification processing. In the following description, it is described that document data from the outside is taken in via the communication unit 21.
The description is the same when the document data is supplied from the outside in the form of a portable medium such as a floppy disk and the document data is taken in from the recording / reproducing unit 31.

As the classification process, there are a manual classification process in which the user manually classifies according to the contents of the document data, and an automatic classification process in which the document processing apparatus 1 automatically classifies. These classification processes are performed based on a classification model described later. However, in the document processing apparatus 1, no classification model exists in an initial state. Therefore, at the time of the initial state, a classification process including creation of a classification model is required as a manual classification process. After the classification model is generated, the input document data can be automatically classified. First, a manual classification process that needs to be performed first will be described. That is, the manual classification process means that when the document processing apparatus 1 in the initial state receives document data sent from the outside, the control unit 11 creates a classification model and classifies the document data based on a user operation. Is performed.

FIG. 5 shows the overall processing procedure as the manual classification processing. The detailed processing of each processing step will be described later.

Step F11 in FIG.
2 shows a document receiving process by the receiving unit 21 of FIG. In step F11, the receiving unit 21 receives one or a plurality of documents transmitted via, for example, a communication line. The receiving unit 21 sends the received document to the main body 10 of the document processing device. The control unit 11 stores the supplied document data or document data in the RAM 14 or the HDD 34.

In step F12, the control unit 11 of the document processing apparatus 1 extracts the features of the plurality of documents sent from the receiving unit 21 and creates feature information, that is, an index of each document. The control unit 11 stores the created index in, for example, the RAM 14 or the HDD 34.
As will be described later, the index includes proper nouns, meanings other than proper nouns, and the like, which are characteristic of the document, and can be used for document classification and search.

The document browsing in step F13 is a process executed as required by the user. That is, it is performed according to a user operation. Step F13 and the next step F14 are processes based on a user operation.
The user can view the content of the input document data on the screen of the display unit 30 by performing a required operation. While browsing the document, the user can instruct various processes such as summarization, which will be described later, by operating the icons and the like on the screen. The process will proceed to the classification operation. In step F14, in response to the user performing an operation of setting a classification item (the classification item is also referred to as a category in this specification), the control unit 11
Generates / displays classification items. The user also performs an operation of sorting the document data into the set classification items, and the control unit 11 sorts and displays the document data accordingly.

In step F15, the control unit 11 creates a classification model in accordance with the classification item creation and the classification operation performed by the user in step F14. The classification model includes a plurality of classification items (categories) for classifying documents, and associates each document index with each category index (index of each document created in step F12) to change the classification state. This is the specified data.
After generating such a classification model, step F16
Then, the classification model is registered. That is, the control unit 11 performs the registration by storing the classification model in, for example, the RAM 14. By the above-described processing of FIG. 5, manual classification and generation of a classification model have been performed for one or a plurality of pieces of document data input when the document processing state 1 is in the initial state. The processing from step F12 onward in FIG. 5 will be described in detail.

4-2 Index Creation In step F14, the control unit 11 creates an index for the input document data. First, a specific example of an index created for certain document data will be described.

<Index Date = "AAAA / BB / CC" Time = "DD: EE: FF" Document Address = "1234"> <User Operation History Maximum Summary Size = "100"> <Number of Selected Elements = " 10 "> Picturetel </ selection> ...... </ user operation history> <summary> Tax reduction scale, not touching-Prime Minister X's meeting </ summary> <word meaning =“ 0003 ”central activity value =“ 140.6 ” > Do not touch </ word> <word meaning = “0105” identifier = “X” central activity value = “67.2”> Prime Minister </ word> <person name identifier = “X” word meaning = “6103” central activity value = “ 150.2 ”> X Prime Minister </ word / person name> <word meaning =“ 5301 ”central activity value =“ 120.6 ”> determined </ word> <word meaning =“ 2350 ”identifier =“ X ”central activity value =“ 31.4 ”> Prime Minister </ word> <word meaning =“ 9582 ”central activity value =“ 182.3 ”> emphasized </ word> <word meaning =“ 2595 ”central activity value “93.6”> touched </ word> <word meaning = “9472” central activity value = “12.0”> foretold </ word> <word meaning = “4934” central activity value = “46.7”> not touched / Word> <word meaning = “0178” central activity value = “175.7”> explicated </ word> <word meaning = “7248” identifier = “X” central activity value = “130.6”> I </ word> <word Meaning = "3684" Identifier = "X" Central activity value = "121.9"> Prime Minister </ word> <word Meaning = "1824" Central activity value = "144.4."> Complained </ word> <word meaning = " 7289 ”Central activity value =“ 176.8 ”> Showed </ word> </ index>

In this index, <index> and </ index> indicate the start and end of the index, <date> and <time> indicate the date and time when this index was created, and <summary> and </ Summary> indicates the start and end of the summary of the contents of this index, respectively. Also, <word> and <
/ Word> indicates the beginning and end of the word. Further, for example, the meaning = “0003” indicates that it is the third meaning. The same applies to other cases. As mentioned above,
Since the same word may have a plurality of meanings, a number is predetermined for each meaning in order to distinguish them, and the corresponding meaning is represented by a number.

<User operation history> and </ user operation history> indicate the start and end of the user's operation history, and <select> and </ select> indicate the start and end of the selected element. , Respectively. The maximum summary size = “100” indicates that the maximum size of the summary is 100 characters, and the number of elements = “10” indicates that the number of selected elements is 10.

As in this example, the index includes proper nouns, meanings other than proper nouns, and the like, which are characteristic of the document. For example, the process of step F12 for creating such an index will be described with reference to FIGS. FIG. 6 shows an index creation process for one document data. Therefore, when a process is performed for a plurality of document data, the process of FIG. 6 is performed for each document data. FIG. 8 shows the detailed processing of step F31 in FIG. 6, and FIG. 9 shows the detailed processing of step F43 in FIG.

As the index creation processing in step F12 in FIG. 5 described above, first, active diffusion in step F31 in FIG. 6 is performed. This active diffusion is a process in which the central activity value of an element is spread based on the internal structure of a document with respect to document data, so that an element related to an element having a high central activity value also has a high central activity value. It is. That is, after giving a central activity value as an initial value to each element constituting the document, the central activity value is diffused based on the internal structure of the document, specifically, the link structure. Since this central activity value is determined according to the internal structure by tagging, it is used for extracting features of a document. The control unit 11 determines in step F3
As 1, the active diffusion is performed, and the central active value of each element obtained as a result of the active diffusion is stored in, for example, the RAM 14.
Will be stored.

FIG. 7 shows the active diffusion in step F31.
9 will be described in detail. First, an example of a link structure between elements is shown in FIG. In FIG.
The periphery of elements E1 and E2 is shown as part of the structure of the elements and links that make up the document. E1
E8 is an example of an element, in which element E
1 and E2 will be described.

It is assumed that the central activity value of element E1 is e1, and the central activity value of element E2 is e2. The elements E1 and E2 are connected by a link L12 (the normal link or the reference link described above). The end point of the link L12 connected to the element E1 is T12, and the end point of the link L12 connected to the element E2 is T21. Element E1 further includes elements E3, E4,
E5 is connected to links L13, L14, and L15, respectively. The end points of the links L13, L14, and L15 on the element E1 side are denoted by T13, T14, and T, respectively.
It is assumed to be 15. Element E2 is composed of elements E6 and E6.
Links L26, L27, L2 for E7 and E8 respectively
8 are connected. Each link L26, L27, L28
At the element E2 side are denoted by T26 and T26, respectively.
27 and T28. The active diffusion processing of FIGS. 8 and 9 will be described using an example of such a link structure.

In step F41 in FIG. 8, when starting the active diffusion for the document data to be indexed, the control unit 11 first initializes the central active value for all elements of the document data. As the initial value of the central activity value, for example, a high value is given to a proper noun, an element selected (clicked) by a user, or the like. Further, the control unit 11 sets the end point activation value of the end point T (xx) of the link connecting the elements to 0 for the reference link and the normal link. The control unit 11 stores, for example, the RAM 14 with the initial value of the endpoint activation value thus assigned.

In step F42, the control unit 11
Initializes a counter for counting the elements Ei constituting the document. That is, the count value i of the counter for counting elements is set to one. If i = 1, this counter will refer to the first element (eg, element E1 in FIG. 7).

In step F43, the control unit 11
Executes a central activation value update process for calculating a new central activation value for the element referenced by the counter. This center activation value update process will be described in detail with reference to FIG. 9 by taking the process for the element E1 as an example. The center activation value updating process is a process of updating the end point activation value of the element, and calculating a new center activation value using the updated end point activation value and the current center activation value.

In step F51 of FIG.
Is an element Ei (for example, in this case E
In 1), a counter for counting the number of links having one end connected thereto is initialized. That is, the count value j of the counter for counting the links is set to one. When j = 1, this counter refers to the first link L (yy) connected to the element Ei. In the example of FIG.
For example, the link L12 is referred to as the first link for the element E1.

In step F52, the control unit 11 determines whether the link being referred to, that is, the link L12 connecting the elements E1 and E2, is a normal link by referring to the tag of the related attribute. If the link L12 is a normal link, the control unit 11 proceeds to step F53, and if the link L12 is a reference link, proceeds to step F54.

If the link L12 is determined to be a normal link and the process proceeds to step F53, the control unit 11 performs a process of calculating a new endpoint activation value of the endpoint T12 connected to the normal link L12 of the element E1. Endpoint T12
Are the endpoint activation values of all the endpoints connected to the link other than the link L12 among the endpoint activation values of the linked element E2 (in this case, T26 and T2).
7, each end point activation value t26, t27, t28 of T28)
And the central activation value e2 of the element E2, and the value obtained by this addition is divided by the total number of elements included in the document. The control unit 11 performs such an operation using each endpoint activity value and each center activity value read from the RAM 14, thereby calculating a new endpoint activity value for the endpoint connected to the normal link. The calculated end point activation value is stored in the RAM 14. That is, the end point T1
The end point activation value t12 of No. 2 is updated.

On the other hand, if it is determined in step F52 that the link L12 is a reference link and the process proceeds to step F54, the control unit 11 similarly sets a new endpoint activation of the endpoint T12 of the element E1 connected to the normal link L12. The processing for calculating the value is performed. The calculation for calculating the end point activity value is as follows. That is, in this case, the endpoint activation values t12 of the endpoint T12 are the endpoint activation values of all the endpoints connected to the link other than the link L12 among the endpoint activation values of the linked element E2 (in this case, T2
6, each end point activation value t26, t27, t of T27, T28
28) and the central activation value e2 of the element E2. (That is, the point where there is no division is different from the case of the above-mentioned normal link.) The control unit 11 performs such an operation using each of the end point activation values and each of the center activation values read from the RAM 14, A new endpoint activity value is calculated for the endpoint connected to the reference link, and the calculated endpoint activity value is stored in the RAM.
14 is stored. That is, the end point activation value t1 of the end point T12
Update 2.

After performing the processing in step F53 or F54, the control unit 11 performs the processing in step F5 through the determination processing in step F55 (if the determination result is NO).
Proceeding to 7, the count value j is incremented, and the process returns to step F52. That is, subsequently, by setting the count value j = 2, the second link (for example, link L13) for the element E1 is referred to.
In the same manner as described above, the end point activation value t13 of the end point T13 connected to the link L13 is calculated / updated in the processing after step F52.

In step F55, the control unit 11 determines whether or not a new endpoint activation value has been calculated for all the links for the element Ei (E1) currently referred to by the count value i, and branches the processing. Because
The process of updating the endpoint activation values is performed until all endpoint activation values of the element Ei being referred to are updated. That is, by repeating the process while incrementing the count value j in step F57, for the element E1, for example, the endpoint activation values t12, t13, t14, and t15 are updated for the endpoints T12, T13, T14, and T15, respectively. When all of them have been updated, the process proceeds from step F55 to F56.

In step F56, a new central activity value ei of the element Ei is calculated by using the updated endpoint activity values in response to all the endpoint activity values for the element Ei being obtained. The new central activation value ei of the element Ei is the current central activation value e of the element Ei.
It is determined by the sum of new endpoint activation values of all endpoints of i and element Ei. For example, in the case of the element E1 in FIG. 7, the new central activation value e1 (new) is e1 (new) = e1 + t12 + t13 + t14 + t15.

The control unit 11 calculates the central activation value ei of the element Ei being referred to by the current count value i in this way. Then, the control unit 11 causes the RAM 14 to store the calculated new central activation value ei. That is, the central activation value ei of the element Ei is updated. (However, at this point, the old center activation value is also held because it is used in the process of step F45 described later.)

When the processing as shown in FIG. 9 is performed as the central activation value updating processing in step F43 in FIG. 8, the processing of the control unit 11 proceeds to step F44 in FIG.
The control unit 11 determines whether or not the central activation value update processing has been completed for all elements in the document. Specifically, control unit 11 determines whether or not count value i has reached the total number of elements included in the document. Control unit 1
When the central activation value update processing has not been completed for all the elements, the process proceeds to step F47, where the count value i is incremented, and
Return to For example, after the processing for the element E1 is completed as described above, the count value i is set to 2 and the element E2 is referred to this time. Then, for the element E2, the central activation value update processing of step F43 (that is, the processing of FIG. 9) is performed in the same manner as described above. Although the details will not be described because they will be redundantly described, in the case of the link example of FIG. 7, in the case of the element E2, the end point activation values t21, t26, t27, After t28 is updated,
A new central activity value e2 (new) is calculated as e2 (new) = e2 + t21 + t26 + t27 + t28, and is updated.

In the processing shown in FIG. 8, the central activation value update processing in step F43 is repeated while the count value i is incremented in step F47 and the reference element is changed, so that all elements included in the document are updated. Will be updated.

When the updating of the central activation value has been completed for all the elements in the document, the process proceeds to step F44.
To F45. In step F45, the control unit 11 calculates the average value of the change in the central activity values of all the elements included in the document, that is, the change in the newly calculated central activity value from the original central activity value. For example, the control unit 11 reads the old central activation value stored in the RAM 14 and the updated new central activation value for all elements included in the document. Then, for each element, the difference between the new central activity value and the old central activity value is obtained, and the sum of the differences is divided by the total number of elements to calculate the average value of the change in the central activity value of all elements. The control unit 11 causes the RAM 14 to store, for example, the average value of the change in the central activity value of all elements calculated in this way.

Subsequently, at step F46, the control unit 11
Determines whether the average calculated in step F45 is within a preset threshold. When the average value is within the threshold value, the control unit 11 ends a series of steps as the active diffusion process. When the average value is not within the threshold value, the control unit 11 returns to step F42 and performs the above-described series of processes. Perform the process again.

This series of active diffusion processing can be said to be processing for raising the central activity value of an element related (linked) to an element having a high central activity value. However, by performing this activation diffusion only once, when considering the purpose of the index creation processing, among the elements that should be able to raise the central activation value,
In some cases, the central activity value may not be sufficiently raised. For example, in one activation diffusion, for an element directly linked to an element for which the initial value of the central activation value is set high, the central activation value is raised to some extent, but for an element that is not directly linked, it is Even if the element is important as an index, the central activity value may not be sufficiently raised. Therefore, by performing the active diffusion process a plurality of times as necessary based on the determination in step F46, the central activity value can be converged as a whole, and important elements that cannot be increased in the central activity value As much as possible. The reason why the central activity value is converged as a whole in the active diffusion process a plurality of times is that the central active value of each element updated in the active diffusion process is based on the central activity value of each element, and further the active activity diffusion process is performed for each element. This is because the central activity value is updated. However, if such activation diffusion processing is performed too many times, the central activation values of all the elements converge and become almost the same, which is inappropriate.
For this reason, in the processing of steps F45 and F46, the end timing of the active diffusion process is determined based on the change so as to obtain the average value of the change of the central active value, so that the active diffusion suitable for index creation is performed. Will be realized.

When the active diffusion process as shown in FIGS. 8 and 9 (ie, step F31 in FIG. 6) is completed, the control unit 1
The process 1 proceeds to step F32 in FIG. In step F32, the control unit 11 determines in step F3
Based on the central activity value of each element obtained in step 1, an element whose central activity value exceeds a preset threshold is extracted. The control unit 11 causes the RAM 14 to store the extracted elements.

Subsequently, in step F33, the control section 11 reads out the elements extracted in step F32, for example, from the RAM. Then, the control unit 11 extracts all proper nouns from the extracted elements and adds them to the index. Proper nouns have special properties such as having no meaning and not appearing in dictionaries, and are therefore treated separately from words other than proper nouns. As described above, the word meaning corresponds to each of a plurality of meanings of the word. Whether or not each element is a proper noun can be determined based on a tag attached to the document. For example, in the internal structure by tagging shown in FIG. 4, "Mr. A", "B meeting" and "C"
“City” is a proper noun since the related attributes of the tags are “person name”, “organization name”, and “place name”, and the control unit 11 adds the extracted proper noun to the index, and The result is stored in the RAM 14.

In the next step F34, the control unit 1
1 extracts the meanings other than proper nouns from the elements extracted in step F32, adds them to the index, and stores the result in the RAM 14.

With the above processing, for example, an index as in the above specific example is generated. That is, the index finds the features of the tagged document and arranges the features, and the features of the document are determined based on the central activity value diffused according to the internal structure of the document. It will be. Since such an index includes meanings and proper nouns representing features representative of a document, it can be used when referring to a desired document. The index includes, in addition to the meanings and proper nouns representing the characteristics of the document, the document in the RAM 14 (or H
The document address indicating the position stored in DD34) is included.

4-3 Document Browsing / Category Creation / Category Operation The index creation process described above with reference to FIGS. 6 to 9 is performed in step F12 of FIG. Therefore, FIG.
As for the manual classification processing of step F13 and step F1
The process proceeds to the process of No. 4, that is, the process of browsing and manual classification by the user as described above.

As described above, in step F13 of FIG. 5, the user can browse the document displayed on the display unit 30. In step F14, the user can perform an operation of setting a classification item and an operation of sorting document data into the set classification item. The operations performed in steps F13 and F14,
The corresponding process of the control unit 11 and a display example of the display unit 30 are as follows.

FIGS. 10 and 11 show specific examples of the display on the display unit 30. FIG. First, FIG. 10 is a display example of a classification window 201 corresponding to a classification model described later in detail. That is, a graphic user interface (graphic user interface) used for displaying a document classification.
GUI). In the classification window 201, a position reset (po) that returns the state of the window on the screen to the initial position is provided as an operation button display 202.
reset button 202a and a browser button 20 for calling a browser for reading the contents of the document.
2b and exit button 20 from this window
2c is displayed.

In the classification window 301, document classification areas 203, 204, 205,... Are formed as small windows according to the classification items corresponding to the classification model. The document classification area 203 is an area for displaying “other topics”. The “other topics” document classification area 203 is an area where documents that have not been classified yet are presented. For example, step F in FIG.
Each document received at 11 (that is, a document to be classified) is presented in the "other topics" document classification area 203. The document classification area 204 is an area where documents classified as, for example, “business news” are presented. The document classification area 205 is an area in which documents classified as, for example, “political news” are presented. In addition to these, document classification areas without reference numerals in the figure are areas where documents corresponding to specific classification items are presented.

Each of these document classification areas 203 and 204
.., The documents classified into the classification items (categories) set in the respective document classification areas are presented by the icon of the document and the title of the document. If there is no title, a summary of one sentence is displayed. Also, the size of each of the document classification areas 203, 204,... Is not fixed,
When the user moves the delimiting frames 211, 212, 213,... Separating the document classification areas by a drag operation or the like, the document classification areas 203, 204,.
Can be arbitrarily changed. The user can arbitrarily increase or decrease the number of document classification areas.

Each of the document classification areas 203, 204,.
The title (for example, "political news") can be arbitrarily set and changed by the user. Note that the number of document classification areas and each title correspond to the classification items of the classification model described later. In other words, the user sets or deletes a document classification area or performs a title setting in the classification window 201 by operating the input unit 20 using a mouse, a keyboard, or the like.
The number and title of the classification items of the classification model are set.

FIG. 11 shows an example of a browsing window 301 for a user to browse the contents of document data. For example, the user clicks on a certain document in the classification window 201 of FIG. 10 to select the document, and then clicks the browser button 202b, whereby the control unit 1
1 opens a browsing window 301 for displaying the selected document as shown in FIG.

In the browsing window 301, a file name display unit 3 for displaying the file name of the document data file
02, a document display unit 303 for displaying the document data of the file name, a summary display unit 304 for displaying a summary of the document displayed on the document display unit 303, and a keyword display unit 305 for inputting / displaying a keyword. . As the operation button display 306, a summary creation button 306a for instructing creation of a summary sentence, an undo button 306b for performing an undo operation (operation cancellation), a reading button 306c for executing a reading operation, and the like are displayed. Is done.

In such a browsing window 301,
The user can browse the document displayed on the document display unit 303. If the entire document cannot be displayed, a part of the document is displayed. Of course, you can browse the full text by scrolling. In addition, by clicking the summary creation button 306a, the user can cause a summary sentence for the document displayed on the document display unit 303 to be created and displayed on the summary display unit 304. The process of the control unit 11 for creating the summary sentence will be described later. Further, by clicking the read-aloud button 306c, the user can cause the text or the summary of the document displayed on the document display section 303 to be read aloud. This reading operation will also be described later.

The classification window 201 and the browsing window 301 as described above are displayed not only in the manual classification process in FIG. 5 but also in the display unit 20 at any time according to the operation of the user. As for the manual classification process,
The user can confirm the type and content of the received document in the classification window 201 and the browsing window 301. Specifically, the one or more documents received in step F11 in FIG. 5 are subjected to the index creation processing in step F12, and then the document classification area 2 of "other topics" in the classification window 201 as shown in FIG.
03 is displayed. In the classification window 201, the user manually classifies each document displayed in the document classification area 203. For example, when the content cannot be understood only by the title of the document, the browsing window 301 in FIG. To confirm the document content. The browsing performed as needed by the user in this manner is the process of step F13 in FIG.

In step F14, the user can arbitrarily add, update, or delete a classification item on the classification window 201, and in accordance with the operation, the control unit 11 causes the displayed document classification area 203, 204 ...
・ Change the display mode (number, area, title, etc.). The setting / change of the classification item (title of the document classification area) by the user is reflected in the classification model described later.

After setting the classification items as necessary, the user sorts each document displayed in the document classification area 203 into each document classification area. That is, the documents are classified manually by the user. Specifically, the icon of the document displayed in the document classification area 203 of “other topics” is dragged to the document classification area corresponding to a desired classification item (category) using, for example, the mouse of the input unit 20. Do it by doing. For example, the user sets a document classification area titled “Sports”, and changes the icon of a sports-related document displayed in the document classification area 203 of “Other topics” to the document classification area of “Sports”. Perform an operation like dragging. The icons and titles of the documents that have been manually classified in this manner are thereafter displayed in the dragged destination document classification area.

4-4 Creation / Registration of Classification Model As described above, when the user performs the manual classification operation, the control unit 11 determines in step F15 of FIG. 5 that the classification model includes a plurality of categories based on the user's classification operation. Create That is, the control unit 11 collects indices of the plurality of documents classified into each category and generates a classification model. Then, the plurality of documents are classified into each category of the classification model.

The classification model is composed of a plurality of classification items (categories) for classifying documents. Then, for each category, a data format is provided in which the classified documents are shown.
For each document, an index is formed in step F12 or the like, and the classification model is, for example, as shown in FIG.
As shown in (1), the data structure is such that the indexes of the documents classified for each category are associated with each other.
In FIG. 12A, the category is “sports”.
“Company”, “Computer”, etc. are set, but these are the classification items set by the user in the classification window 201 as described above. Of course, even if the user does not set, it is set in advance (that is, displayed as a document classification area in the classification window).
There may be categories. Each of the classification items is associated with an index IDX1, IDX2,.
That is, the index of the document classified by the user as described above is associated with each classification item.

The index associated with each classification item is the index of the document displayed in the document classification area of the classification item in the classification window 201. For example, the index IDX1 is associated with the category "sports" because the user creates a document classification area with the title "sports" in the classification window 201, and furthermore, sets the icon of the document of the index IDX1 to "sports". Is manually dragged to a document classification area having a title of "".

As described above, the index of each document includes proper nouns, meanings other than proper nouns, document addresses, and the like. Then, for example, as shown in FIG.
One or a plurality of indices are associated with one classification item. Since the indexes include proper nouns, meanings, document addresses, and the like, the classification model can be represented as shown in FIG.

That is, as shown in FIG. 12B, the classification model has a structure having columns of proper nouns, meanings other than proper nouns, and document addresses as category indexes corresponding to each category. Then, in the classification model, the proper noun “Mr. A” for each category “sports” “society” “computer” “plant” “art” “event”
... "," Mr. B, ... "," Company C, Company G, ...
"," D type, ... "," Mr. E, ... "and" F
A proper noun such as "Mr." is also assigned.
546), ground (2343), ... "," labor (3112), unique (9821), ... "," mobile (2102), ... "," cherry blossom 1 (11111), orange 1 ( 9911) "," Sakura 2 (11112), Orange 2 (9912) ", and" Sakura 3 (11113) "are also assigned to each category. Further, the document addresses" SP1, SP2, SP3,... " “S01,
S02, S03,... "," CO1, CO2, CO
3, ... "," PL1, PL2, PL3, ... ",
"AR1, AR2, AR3, ..." and "EV1,
EV2, EV3,... "Are also assigned to each category.

Note that "Sakura 1", "Sakura 2" and "Sakura 3"
The first meaning (11111) and the second meaning (1111)
112) and the third meaning (11113). “Orange 1” and “Orange 2” indicate the first meaning (9911) and the second meaning (9912) of “orange”. For example, "orange 1" represents a plant orange, and "orange 2" represents an orange color. The reason that the meaning is used instead of the word itself in cases other than proper nouns is that the same word may have a plurality of meanings.

In step F15 of FIG. 5, for example, such a classification model is generated in response to a user's manual classification operation. Then, the classification model is registered as Step F16,
That is, it is recorded in the RAM 15 (or the HDD 34). The generation / registration of the classification model in this way means that the classification of the document has been performed.

As described above, step F in FIG.
After the creation / registration of the classification model is performed as F15 and F16, the classification model is sequentially updated in accordance with automatic classification processing described later, editing of a classification item by a user, or manual classification operation. Become. When the classification model is updated, the update date and time are recorded in the classification model. FIG. 12 shows that the update date and time “19:05 on December 10, 1998
6 minutes and 10 seconds "are recorded.

5. 5. Automatic Classification Processing for Document Data 5-1 Processing Procedure In the document processing apparatus 1 of the present embodiment, after the classification model is once created as described above, for example, the document data taken in from the outside by the communication unit 21 is automatically converted to the document data. The automatic classification process of classifying into is possible. That is, the automatic classification process described below is a process of, when the document processing apparatus 1 receives document data sent from the outside, classifying the document data with respect to a classification model. In this example, the automatic classification process described below may be performed each time one document is received, or may be performed each time a plurality of predetermined documents are received. The automatic classification process may be performed on all the documents received so far when the operation of opening is performed.

FIG. 13 shows the entire processing procedure as the automatic classification processing. Step F21 in FIG. 13 shows a document receiving process by the receiving unit 21 of the document processing apparatus 1. In this step F21, the receiving section 21 receives one or a plurality of documents transmitted via a communication line, for example. The receiving unit 21 sends the received document to the main body 10 of the document processing device. The control unit 11 stores the supplied document data or document data in the RAM 14 or the HDD 34.

Then, the process proceeds to step F22, where the control unit 11
Creates an index for the document taken in step F21.

In step F23, the control unit 11 converts each indexed document based on the classification model into
Automatic classification into one of the categories of the classification model. Then, the control unit 11 causes the RAM 14 to store the result of the classification, for example. Details of the automatic classification will be described later.

In step F24, the control unit 11 updates the classification model based on the result of the automatic classification of a new document in step F23. Then, in step F25, the control unit 11 registers the classification model updated in step F24. For example, the classification model is stored in the RAM 14.

By the above-described processing in FIG. 13, automatic classification processing is performed so that the document data input to the document processing state 1 is classified on the classification model. That is, in this automatic classification process, an index is created for the received document, and after the automatic classification is performed, proper nouns, meanings,
The document address and the like are associated with a certain category on the classification model as shown in FIG. 12 (the classification model is updated).

The processes in steps F21 and F22 are the same as steps F11 and F12 in the above-described manual classification process. That is, as the index creation processing in step F22, the processing described with reference to FIGS. 6 to 9 is performed, and the repeated description will be omitted. The update of the classification model in step F24 depends on the classification result of the automatic classification in step F23. Hereinafter, automatic classification in step F23 will be described in detail as processing different from the above-described manual classification processing.

5-2 Automatic Classification FIG. 14 shows the detailed processing of the automatic classification in step F23 in FIG. In step F61 of FIG.
Defines the number of intersections of the set of proper nouns included in the category Ci of the classification model and the set of proper nouns among the words extracted from the document received in step F21 and put into the index by P ( Ci). Then, the control unit 11 calculates the number P (Ci) thus calculated.
Is stored in the RAM 14.

At step F62, the control unit 11
Refers to the degree of association between all meanings included in the index of the document and all the meanings included in each category Ci by referring to the table of association between meanings shown in FIG. The total sum R (Ci) of the degrees is calculated. That is, the control unit 11 calculates the total sum R (Ci) of the degrees of association between all the meanings of words other than the proper noun in the classification model. The control unit 11 then calculates the total sum R (C
i) is stored in the RAM 14.

Here, the degree of association between meanings will be described. The degree of association between meanings may be calculated in advance for the meanings included in the electronic dictionary provided in the document processing apparatus 1 by the processing in FIG. 15 and the result may be stored as shown in FIG. That is, the control unit 11 executes the process of FIG. 15 only once in advance, so that it can be used in the automatic classification process of FIG.

The processing of FIG. 15 which is executed in advance by the control unit 11 is as follows. First, in step F71, the control unit 11 uses the description of the meaning of a word in the electronic dictionary and creates a meaning network using this dictionary. That is, a meaning network is created from the reference relation between the explanation of each meaning in the dictionary and the meaning appearing in the explanation.
The internal structure of the network is described by tagging as described above. For example, the control unit 11 of the document processing apparatus sequentially reads meanings and descriptions of the electronic dictionary stored in the RAM 14 and creates a network. The control unit 14 causes the RAM 14 to store the meaning network created in this manner.

The above network is not only created by the control unit 11 of the document processing apparatus using a dictionary, but also by the receiving unit 21.
The recording / reproducing section 31 reproduces the data received from the outside from the recording medium 32. Further, the electronic dictionary can be obtained by receiving from the outside by the receiving unit 21 or by reproducing from the recording medium 32 by the recording / reproducing unit 31.

In Step F72, Step F7
The central activity value corresponding to each semantic element is spread on the semantic network created in step 1. By this activity diffusion, the central activity value corresponding to each meaning is given according to the internal structure by tagging given by the dictionary. The diffusion processing of the central activation value is the processing described with reference to FIG.

In Step F73, Step F7
One semantic Si constituting the semantic network created in 1 is selected, and in the subsequent step F74,
The initial value of the central activity value ei of the vocabulary element Ei corresponding to this meaning Si is changed, and the difference △ ei of the central activity value at this time is calculated.

Further, in step F75, a difference Δej of the central activation value ej of the element Ej corresponding to another meaning Sj corresponding to the difference Δei of the central activation value ei of the element Ei in step F74 is determined. In step F76, the difference Δe obtained in step F75
quotient ｊej obtained by dividing j by △ ei obtained in step F74
/ △ ei is the degree of association between meanings of the meaning Si with respect to the meaning sj.

In step F77, one meaning Si
It is determined whether or not the calculation of the degree of association between meanings has been completed for all pairs of the word and another meaning Sj. When the calculation of the relevance between meanings is not completed for all pairs of meanings, the process returns to step F73, and the calculation of the relevance between meanings is continued for the pairs for which the calculation of the relevance is not completed. In the loop from step F73 to step F77, the control unit 11 sets a necessary value to, for example, RA
M14 is sequentially read out, and the degree of association between meanings is calculated as described above. The control unit 11 causes the RAM 14 to sequentially store the calculated meaning-to-sense associations, for example. Then, when the calculation of the degree of inter-word meaning is completed for all the word-sense pairs, this series of processing is ended from step F77.

The calculation of the degree of association between meanings is performed by a certain one.
It can be said that, when the central activity value of one meaning is changed, the meaning in which the central activity value changes along with the meaning has a high degree of relevance. That is, if the central activity value of a certain meaning is changed in step F74, the central activity value of the related (linked) meaning changes accordingly, and if the degree of the change is examined, a certain meaning is obtained. The degree of relevance of each other meaning with respect to is understood. (The central activation value of an element Ei reflects the central activation value and the endpoint activation value of the linked element as described in the above description of the activity diffusion, and the element Ei endpoint activation value is updated. In addition, since the value is obtained from the sum of the end point activity value of the element Ei and the current center activity value, the larger the degree of association with the link destination is, the larger the amount of change of the center activity value is.) By performing the processing for all other meanings, it is possible to calculate the degree of association for all pairs (combinations) of meanings.

The calculated degree of association between meanings is defined between each meaning as shown in FIG. In the table of FIG. 16, the degree of association between meanings is normalized to take a value from 0 to 1. In this table, as an example, the degree of inter-semantic association between “computer”, “television”, and “VTR” is shown. The relevance between meanings of "computer" and "television" is 0.55, the relevance between meanings of "computer" and "VTR" is 0.25, and the relevance between meanings of "television" and "VTR" is 0.60. It is.

When the processing in step F62 in FIG. 14 is performed using the degree of association between the meanings calculated in advance as described above, the control unit 11 then proceeds to step F63 to determine the inter-document classification for the category Ci. Relevance Rel (C
i) is calculated as Rel (Ci) = m1P (Ci) + n1R (Ci). Here, the coefficients m1 and n1 are constants and represent the degree of contribution of the respective values to the inter-document-class relevance. The control unit 11 performs the calculation of the above expression using the number P (Ci) of common sets calculated in step F61 and the sum R (Ci) of the degree of association between meanings calculated in step F62, and calculates the degree of association between document classifications. Calculate Rel (Ci). The control unit 11 causes the RAM 14 to store the thus calculated inter-document-class relevance Rel (Ci).

The values of these coefficients m1 and n1 can be, for example, m1 = 10 and n1 = 1. The values of the coefficients m1 and n1 can also be estimated using a statistical method. That is, the control unit 11 determines the degree of association Rel between document classifications for a plurality of pairs of coefficients m and n.
Given (Ci), the coefficient can be obtained by optimization.

In step F64, the control unit 11
Is the document class relevance Rel (C
When i) is the largest and the value of the degree of association Rel (Ci) between the document classifications exceeds a certain threshold, the documents are classified into the category Ci. That is, the control unit 11 creates the inter-document-class relevance for each of the plurality of categories, and when the maximum inter-document-class relevance exceeds the cabinet value, the control unit 11 assigns the document with the maximum inter-document-class relevance. Classify into category Ci. As a result, the document is automatically classified into a required category. If the maximum degree of association between document classifications does not exceed the threshold value, no document classification is performed.

As described above, the processing of FIG.
If the automatic classification in step F23 is performed,
The series of automatic classification is completed by updating and registering the classification model accordingly at 24 and F25. That is, the document data received by the document processing apparatus 1 is automatically classified, and the user can confirm the received document data in a required document classification area in the classification window 201 of FIG. 10, for example. Become.

6. Summary Creation / Display Process Next, a process of creating a summary sentence for document data and displaying and outputting it will be described. As described above, the user selects a document and selects the browsing window 30 shown in FIG.
1, the text of the document can be browsed. For example, step F1 in the above-described manual classification process
At time 3 or any other time, the browsing window 301 is changed from the classification window 201 described with reference to FIG.
Can be opened.

For example, when a browser button 202b is clicked while a certain document is selected in the classification window 201, as shown in FIG. 17, a browsing window 301 in which the text of the selected document is displayed in the document display unit 303.
Is opened. When the entire text of the document cannot be displayed on the document display unit 303, a part of the document is displayed. At the time when the summary sentence is not created, the summary display section 304 is blank as shown in FIG.

When the user clicks the summary creation button 306a in the browsing window 301, the document display unit 30
A summary sentence for the document displayed in 3 is created,
It is displayed on the summary display unit 304 as shown in FIG. That is, the control unit 11 responds to the user's summary creation operation by
A summary sentence creation process as described below is performed, and after creation, control for displaying the summary sentence is performed. The process of creating an abstract from a document is performed based on the internal structure of the document by tagging. The summary sentence is generated according to the size of the summary display unit 304. The area of the text display unit 303 and the summary display unit 304 can be changed by moving the partition frame 312 by the user. In other words, the summary sentence is created in a size (document length) according to the size of the summary display unit 304 at the time when the summary creation is instructed.

Here, as an example for explanation, it is assumed that a tag file in which the following English documents are tagged is received. The source document (plain text) of the tag file is as follows. `` During its centennial year, The ABC Journal will
report events of the past century that stand as m
ilestones of American business history.THREE COMP
UTERS THAT CHANGED the face of personal computing
were Iaunchedin 1977. That year the PC A II, PC B
and PC C came to market.The computers were crude
by today's standerds.PC A ll owners, for example,
had touse their television sets as screens and sto
red data on audiocassettes.But PC A
・ ・ ・ ・ ・ ・ ・ (Hereinafter abbreviated) ”

Such a document is subjected to an authoring process in the authoring apparatus 2 described with reference to FIG. 1, and is made a tag file. The document is provided from the server 3 to the document processing apparatus 1. Upon receiving the tag file for such a document, the document processing apparatus 1 can perform the classification process and display the text as shown in FIG. 17, and generate a summary sentence as described below. Can be displayed.

The tag file of the above-mentioned English document is structured as shown in FIG. 22 or 23, for example. That is, various tags <****> to </ ****> indicating the document structure described with reference to FIGS. The difference between the example of FIG. 22 and the example of FIG. 23 is whether or not tags <copyright> to </ copyright> indicating copyright information on this document are attached. FIG. 22 shows an example in which such a tag (hereinafter, referred to as a copyright tag) is not attached. In the example of FIG. 23, <copyright author = “T.YAMADA”>
A copyright tag is attached such as </ copyright>.

[0133] This copyright tag indicates various information such as the author, the copyright holder, and the copyright content as copyright information on the document. And this copyright tag,
When the authoring apparatus 2 performs authoring based on the copyright information from the document provider 4, it is added to the tag file. It is naturally possible to add a copyright tag to the tag file in the server 3 or the like. In any case, the tag file provided to the document processing apparatus 1 on the user side includes a file with a copyright tag and a file without a copyright tag.

When displaying a tag file with a copyright tag, the control unit 11 of the document processing apparatus 1 may present the copyright information indicated by the copyright tag. For example, as described above, with a certain document selected in the classification window 201, the browser button 202b
By clicking, as shown in FIG.
When the selected document is a tag file as shown in FIG. 23, the browsing window 301 displaying the text of the selected document is opened in FIG. The information 320 is displayed.

In this example, if a copyright tag is added to the original body tag file also at the time of creating / displaying the summary described below, the copyright information indicated by the copyright tag is displayed. Is displayed.

FIG. 21 shows a summary creation and display process of the control unit 11, which is started when the summary creation button 306a is clicked in the browsing window 301 as shown in FIG. 17 or FIG.

In Step F81 of FIG.
Performs active diffusion. In this example, by adopting the central activity value obtained by the active diffusion as the importance,
Summarizes the document. In a document given an internal structure by tagging, by performing activity diffusion, a central activity value corresponding to the internal structure by tagging can be given to each element. The active diffusion processing performed in step F81 is the same processing as that described with reference to FIGS. 7 to 9. However, as described above, the active diffusion is performed even on an element having a high central activity value and an element having a high central activity value. It is a process that gives a value. That is, the active diffusion is an operation on the central activity value such that the central activity value is equal between the anaphor (co-reference) expression and its antecedent, and the central activity value attenuates otherwise. Since this central activity value is determined according to the internal structure by tagging,
It can be used for document analysis considering the internal structure by tagging.

Next, in step F82, the control unit 11
The size of the summary display section 304 of the browsing window 301 displayed on the display section 30, specifically, the summary display section 3
The maximum number of characters that can be displayed in 04 is set as ws. Further, the control unit 11 initializes a summary character string (an internal register holding a summary sentence) and sets an initial value s (0) = “”. The control unit 11 sets the maximum number of characters w
The s and the initial value s (0) of the character string s are recorded in the RAM 14.

In step F83, the control unit 11 counts the count value i of the counter that counts the sentence skeleton extraction processing.
Is set to “1”. Then, in Step F84, the control unit 1
1 is based on the count value i of the counter, i
The skeleton of the sentence with the highest average central activity value is extracted second. The average central activity value is the average of the central activity values of the elements constituting one sentence. The control unit 11 reads, for example, a character string s (i-1) recorded in the RAM 14, adds a character string of the extracted sentence skeleton to the character string s (i-1), and generates S (i) And And control unit 1
1 stores the character string s (i) thus obtained in the RAM 14
To record. In the first time, the character string s (i-1) has the initial value s
(0), the skeleton of the sentence extracted this time is the character string S
(I) is stored in the RAM 14. When the process of step F84 is performed thereafter,
The skeleton of the extracted sentence is added to the character string S (i), and the previous character string S (i) (that is, the character string S (i−
1)). At the same time, the control unit 11 determines in this step F84 a list L (i) of the elements not included in the skeleton of the sentence in the order of the central activation value.
And the list L (i) is recorded in the RAM 14.

That is, in this step F84, the summary algorithm uses the result of activity diffusion to
The sentences are selected in descending order of the average central activity value, and the skeleton of the selected sentence is extracted. The skeleton of a sentence is composed of essential elements extracted from the sentence. Required elements can be the head of the element, the subject, the object (obj
ect), indirect object, owner (poss
An element having a relationship attribute of essor, cause, condition, or comparison, and an element directly included when the coordination structure is an essential element, constitute an essential element. Then, by connecting the essential elements of the sentence, a skeleton of the sentence is generated and added to the summary.

In step F85, the control section 11 determines whether or not the length of the character string s (i) is larger than the maximum number of characters ws of the summary display section 104 of the browsing window 301. This step F85 is a determination process for creating a summary sentence according to the size of the summary display unit 304.

If the length of the character string s (i) has not reached the maximum number of characters ws, the control unit 11 executes the processing in step F
Proceed to 86. In step F86, the control unit 11 determines in the document the central activity value of the element of the sentence having the (i + 1) -th highest average central activity value and the highest central activity value of the list L (i) created in step F84. Compare the central activity values of the elements. That is, a sentence having the second highest average central activity value after the sentence adopted as the summary in step F84 (that is, a sentence which is a candidate to be added to the next summary sentence) and a sentence adopted as the summary in step F84 The central activity values of elements excluded from the summary as not scaffolds are compared.

In the process of step F86, the part to be added next to the character string as the summary sentence is set in the immediately preceding step F86.
In the sentence adopted in S84, the process is to determine whether to select from those not adopted as a skeleton or to select from other sentences.

The list L is higher than the central activity value of the element in the (i + 1) -th sentence having the highest average central activity value.
In the case where the highest central activity value in (i) is a higher central activity value, the portion to be added next to the character string as the summary sentence is set as the skeleton in the sentence adopted in the immediately preceding step F84. Try to choose from those that have not been adopted. For this reason, the process of the control unit 11 proceeds to step F88, in which the element having the highest central activity value in the list L (i) is stored in the character string S (i) stored at that time.
And a character string SS (i). At this time, the element added to the character string SS (i) is deleted from the list L (i). Then, in a step F89, the character string S
It is determined whether S (i) is greater than the maximum number of characters ws. If not, the process returns to step F86.

In step F86, if there is an element having a higher central activity value than the highest central activity value in the list L (i) as an element of the (i + 1) -th highest average central activity value, the summary sentence The part to be added next to the character string as is selected from a sentence different from the sentence adopted in step F84 immediately before that step F87.
, The count value i is incremented, and the process returns to step F84. That is, in step F86, (i + 1)
For the sentence having the second highest average central activity value, the skeleton is extracted in step F84 and added to the character string S (i).

As described above, in step F84 or step F88, as the element or other element serving as the skeleton of the sentence in step F84 or step F88 is added to the character string based on the element having the higher central activation value.
9, the character string S (i) or SS (i) is converted to the maximum number of characters ws
By comparing with, a character string close to the maximum number of characters ws but not exceeding the maximum number of characters ws is created.

For example, if the character string S (i) exceeds the maximum number of characters ws in step F85, the process of the control section 11 proceeds to step F90, and the character string S (i- 1) is a summary sentence. In other words, this means that the maximum number of characters ws has been exceeded by adding the skeleton of the sentence in step F84.
The character string S (i-1) before adding the skeleton is determined to be a character string that is close to the maximum number of characters ws but does not exceed the maximum number of characters ws, and is used as a summary sentence.

If the character string S (i) exceeds the maximum number of characters ws in step F85 when the character string S (i) is generated for the first time (i = 1) in step F84, Since the character string S (i-1) becomes the character string S (0) as the initial value set in step F82, a summary sentence could not be created substantially. This is because the size of the summary display unit 304 is too small. Therefore, after increasing the area of the summary display unit 304 on the screen, the user clicks the summary creation button 306a again, and What is necessary is just to make a process start.

If the character string S (i) does not exceed the maximum number of characters ws in step F85, as described above, the control unit 1
The process of step 1 proceeds to step F86, where a portion to be added to the next character string is determined. When the process proceeds to step F89 as described above, it is determined whether or not the character string SS (i) has exceeded the maximum number of characters ws. Where the string SS
If (i) exceeds the maximum number of characters ws, the process of the control unit 11 proceeds to step F91, and the character string S (i) before adding a certain element in the immediately preceding step F88 is used as a summary sentence. Become. In other words, this means that the maximum number of characters ws has been exceeded by adding an element in step F88. Therefore, the character string S (i) before the addition of the element is close to the maximum number of characters ws but the maximum number of characters ws Is determined to be a character string that does not exceed, and is used as a summary sentence.

By the above processing, a summary sentence suitable for the size of the summary display unit 304 at that time is created. The contents of the summary sentence include the skeleton of one or more sentences having a high average central activity value and elements having a high central activity value other than the skeleton.

After the summary document has been generated in this way, the control unit 11 determines in step F92 whether or not a copyright tag has been added to the text tag file from which the summary sentence was generated. Determine. That is, it is determined whether the body tag file is as shown in the example of FIG. 22 or as shown in FIG. If the copyright tag is not added as shown in FIG. 22, the control unit 11 stores the summary text (abstract text tag file) created as described above in step F96 in the RAM 14, the HDD 34, or the like. In step F97, the summary sentence is displayed on the summary display unit 304 as shown in FIG. 18, for example.

On the other hand, if the text tag file from which the summary sentence is based has a copyright tag as shown in FIG. 23, the control unit 11 creates the above-described file in step F93. Summary sentence (summary sentence tag file)
Adds the copyright tag added to the body tag file. In step F94, the control unit 11 stores the summary sentence (summary sentence tag file) with the copyright tag
It is stored in the AM 14 or the HDD 34 or the like. Further, in step F95, the control unit 11 displays the summary on the summary display unit 304 as shown in FIG. 20, for example, and also displays the copyright information 320 corresponding to the summary as shown in the figure.

As described above, in this example, when a summary sentence is generated and displayed, in response to the display of the summary sentence,
The copyright information based on the copyright tag added to the text is displayed, and the user can confirm the original copyright information even for document data derived from the text tag file such as an abstract. Have been able to.

In the processing example of FIG. 21, step F94
The copyright tag is added to the abstract sentence tag file. However, for example, only the abstract sentence tag file is transmitted from the document processing apparatus 1 to another device and used for some kind of document processing. Even in this case, the copyright information of the original document data is specified, which is appropriate. However, for the purpose of displaying the copyright information 320 in response to the display of the summary sentence as shown in FIG. 20, it is not always necessary to add a copyright tag to the summary sentence tag file. May not be performed.

If the user looks at the summary displayed as shown in FIG. 18 or FIG. 20 and wants to see a more detailed summary, or wants to see a shorter summary, the user can view After increasing or decreasing the size (area) of the summary display portion 304 of the window 301, the summary creation button 306 is again displayed.
Click a. Then, by the processing of FIG. 21 described above, a summary having a document length corresponding to the size of the summary display unit 304 at that time is created and displayed.

[0156] 7. Functional Block Configuration of Document Processing Apparatus The classification processing and the summary creation / display processing realized in the document processing apparatus 1 of the present embodiment have been described above, and it has been described that copyright information is also displayed when displaying a summary sentence. Was. In addition to the above, the document processing apparatus of the present example can also display a telop for a text or an abstract, read out a text or an abstract, output video data related to an electronic document, and the like. In the following, a description will be given of, for example, a software configuration (or a hardware configuration) in the control unit 11 and a functional block formed as a file group configuration in order to realize these operations. An operation example when a copyright tag is added to a tag file will be described.

FIG. 24 shows functional blocks and files in the document processing apparatus 1 by software (or hardware). FIG. 24 shows only parts related to the output operation from the display unit 30 or the audio output unit 33, and, for example, functional blocks for realizing document reception processing, classification processing, and the like are omitted.

As shown in the figure, the function blocks are a speech synthesis engine 601, a telop creation engine 602,
A summary creation engine 603 and a video engine 604 are provided. An audio control unit 605 is provided as an audio signal output processing unit for the audio output unit 33, and a display control unit 606 is provided as an image signal output processing unit for the display unit 30. Further, as a user interface 607,
There is provided a part for performing processing for a user operation (an operation by clicking a mouse as the input unit 20) on a button on various displayed windows. A controller 6 for controlling these functional blocks
00 is formed.

The files include a reading file 608 used for reading processing and a body tag file 60.
9. Summary sentence tag file 610, video file 61
1. There is a video output file 612. The body tag file 609 and the video file 611 are taken from the communication unit 21 or the recording / reproducing unit 31 (recording medium 32). The summary sentence tag file 610 is
The body tag file 60 by the summary creation engine 603
9 is generated. That is, the digest creation engine 603 executes the above-described processing of FIG.
Generate

The reading file 608 is generated by converting the text tag file 609 or the summary sentence tag file 610. As described above, the document data (tag file) is generated in the authoring apparatus 2, but the authoring apparatus 2 can also add a tag necessary for performing speech synthesis. Alternatively, after receiving the tag file, the document processing apparatus 1 can newly create a document by adding a tag necessary for performing voice synthesis to the document. Speech file 60
Reference numeral 8 denotes a file generated by deriving attribute information for reading out from the tags in the tag file and embedding the attribute information in the document data. In particular,
The file has information such as a break (pause period) of each reading part of the document and designation of reading.

The video output file 612 is generated by converting (specifically, extracting video tags) from the text tag file 609 or the summary sentence tag file 610. The video tag is information for specifying corresponding video data for each part of the entire document or paragraph of the tag file. In other words, the video output file is a file for specifying video data corresponding to certain document data.

The processing of the functional blocks in FIG. 24 for realizing the above-described operations and a processing example when a copyright tag is added will be described below.

Text Display Processing As shown in FIGS. 17 and 19, when displaying text as certain document data, the information of the selected tag file, that is, the text tag file 609 is displayed by the display control unit 606.
Supplied to The display control unit 606 controls the viewing window 3
The character data as the text is combined with the image 00 and displayed on the display unit 30 as shown in FIGS. As described above, when the copyright tag is added to the body tag file, the copyright information indicated by the copyright tag is also displayed at this time. However, a processing example in which copyright information is not displayed may be considered.

Reading process of text or abstract sentence To execute reading process of text or abstract sentence, first, a reading file 608 is generated from the text tag file 609 or the abstract sentence tag file 610. The speech synthesis engine 601 is connected to the controller 60.
A speech synthesis process is performed based on the reading-out file 608 with reference to the reading-out file 608 based on the instruction of “0”. Generated synthesized voice signal (speech signal)
Yout is subjected to output level adjustment and the like in the audio control unit 605, and is supplied to the audio output unit 33 and output. Further, the controller causes the display control unit 606 to output a required image signal as a window for reading out,
0 is displayed. Information on the user operation at that time is captured by the user interface 607 and transmitted to the controller 600. The controller 600 controls the operation of the speech synthesis engine 601 according to the user operation. When a copyright tag is added to the text tag file 609 or the summary tag file 610 to be read out, the display control unit 606 displays the copyright information indicated by the copyright tag at the time of reading out. To be displayed on the current window. Note that the copyright information may be presented by a reading voice.

Summarizing Process At the time of the summarizing process described with reference to FIG. 21, the controller 600 issues an instruction to the summarizing engine 603 to cause the main body tag file 609 to execute summarizing. As a result, a summary tag file is formed. By transmitting the size information of the summary display unit 304 to the summary creation engine 603, the controller 600 performs the summary generation process according to the size of the summary display unit 304 as described above.

Summary Fixed Display Processing As described in the summary creation processing of FIG. 21, the summary display unit 3
The summary sentence tag file 610 is generated as a document length corresponding to the size of the document 04, and is usually displayed fixedly.
In this case, the generated summary sentence tag file 610 is processed as a display document output Sout by the summary creation engine 603 and supplied to the display control unit 606. The display control unit 606 combines the image with the image of the browsing window 300 and displays the image on the display unit 30 as shown in FIGS. As described above, when the copyright tag is added to the text tag file that is the basis of the summary sentence tag file, the copyright information indicated by the copyright tag is also displayed.

[0167] Summarized sentence / text telop display processing In this example, regardless of the size of the summary display unit 304, telop display of a text or an abstract sentence can also be performed. In that case, the telop creation engine 60
2 performs a telop processing. Then, it is sequentially output as a telop display document output Tout. The display control unit 606 combines the telop display document output Tout with the image of the browsing window 300 and other required windows, and causes the display unit 30 to execute the telop display. When performing telop display in this way,
If a copyright tag is added to the text tag file to be displayed in the telop or the summary tag file to be displayed in the telop (or the text tag file from which the text tag is based), the copyright information indicated by the copyright tag is This is displayed on the window that displays the telop.

Video Output Processing The video output processing is performed by an instruction from the computer 600 based on information from the user interface 607.
This is performed in the processing of the video engine 604. The video engine 604 refers to the video output file 612 generated from the body tag file 609 or the summary tag file 610 to determine video data to be reproduced,
The video file 611 is read. The read video data is processed by the video engine 604 as a video signal Vout for output, and supplied to the display control unit 606. Then, the image is combined with an image as a video window by the display control unit 606 and displayed on the display unit 30. Also, audio data included in the video data is output from the video engine 604 by the audio signal A for output.
Out is processed and supplied to the voice control unit 605 to perform processing such as level adjustment. And the audio output unit 33
Is output as a playback sound. During video output, information on the user operation on the video window 501 is captured by the user interface 607 and transmitted to the controller 600, and the controller 600 controls the operation of the video engine 601 according to the user operation. When outputting video data corresponding to certain document data in this way, if a copyright tag is added to the tag file as the document data, the copyright information indicated by the copyright tag is converted to the video file. It is displayed on the window that outputs data.

As described above, in the document processing apparatus 1 of this embodiment, the creation / display of the summary of the document data, the display of the telop of the text or the summary, the reading of the text or the summary, and the output of the video data are executed. The copyright information is presented according to the copyright tag.

The function blocks shown in FIG. 24 are merely examples, and the configuration and operation of the function blocks for realizing the above operations are not necessarily limited to such examples.

As described above, the document processing apparatus 1 according to the embodiment is described.
Has been described, but its hardware or software configuration and processing examples can be variously considered.

For example, there are various ways of presenting copyright information based on a copyright tag as illustrated in FIG.
That is, in the example of displaying the summary text together with the summary text, the copyright information may be continuously displayed or temporarily displayed while the summary text is displayed. For example, a display mode is conceivable in which the copyright information is displayed only for a few seconds to a few minutes at the start of the display of the summary text, or displayed every few minutes. Alternatively, the user performs some operation on the body text or the summary sentence, for example, a click or editing process for designating a sentence or word, or data movement (copying or moving to another recording medium, or transmission). At this time, it is also preferable to display copyright information.

In the above example, an example is shown in which the name of the author is displayed as the copyright information. However, the contents of the copyright information can be variously considered. For example, it may indicate more detailed information about copyright, such as the right to copy, the right to public transmission, and the right to use derivative works, or may show information such as the permission period for display, duplication, transmission, etc. .

There are various specific examples of devices constituting the document processing apparatus 1. For example, when the input unit 20 of the document processing apparatus 1 is taken as an example, not only a keyboard and a mouse but also a tablet, a light pen, an infrared ray, etc. Other devices, such as a wireless commander device that utilizes the command, are conceivable.

Further, in the embodiment, description has been made assuming that document data and video data are transmitted to communication section 22 from outside via a telephone line or the like, but the present invention is not limited to this. . For example, the present invention can be applied to a case where document data is transmitted via a satellite or the like.
Readout from the recording medium 32 in the reproduction unit 31,
Document data or the like may be written in the ROM 15 in advance.

In the embodiment, an example of a method of tagging a document has been described. However, it is needless to say that the present invention is not limited to this tagging method. Further, in the above-described embodiment, English sentences have been exemplified. However, it is needless to say that the present invention is not limited to English and can be applied to Japanese and other document data. Thus, the present invention provides
Needless to say, it can be changed as appropriate without departing from the spirit thereof.

Further, in the present invention, a disk-shaped recording medium or a tape-shaped recording medium in which an operation control program for executing the above-described summary creation / display processing is written is provided as the recording medium 32. Of course, the recording medium 32 may be an optical disk, a magneto-optical disk, a magnetic tape, a memory card such as a flash memory, a memory chip, or the like, in addition to the floppy disk. The recording medium of the present invention can be similarly used as the HDD 34 shown in FIG. Further, the operation control program can be provided also via a network communication such as the Internet, and therefore, the present invention can be applied to a program server side or a recording medium in a communication process.

According to such a recording medium 32 or the like, the operation control program is provided to the document processing apparatus 1 so that each of the document processing apparatuses 1 on the user side can execute the copyright processing according to the above-mentioned copyright tag. The right information can be presented, for example, by presentation or by voice. Further, by making the operation control program including the above-described classification processing and various window display operations, the document processing apparatus 1 that realizes the above-described document processing method can be easily realized using, for example, a general-purpose personal computer. it can.

[0179]

As will be understood from the above description, the present invention has the following effects. That is, according to the document processing apparatus and the document processing method of the present invention, when a summary sentence created by performing document processing on an electronic document is presented and output, the copyright information of the original electronic document is presented. The user of the document processing apparatus can know the copyright holder of the electronic document. Conversely, the copyright holder can present the copyright of the original electronic document to the user even when the electronic document derived from the electronic document is presented. This is useful in terms of both effective use of electronic documents and copyright protection. Furthermore, by adding copyright information to the tag file as a summary, the copyright of the original electronic document can be clearly specified even when only the summary file is handled, for example. is there.

According to the recording medium of the present invention, a program for realizing the document processing apparatus of the present invention can be provided. For example, the document processing apparatus of the present invention can be easily realized using a general-purpose personal computer or the like.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram of a configuration of a document processing system according to an embodiment of the present invention.

FIG. 2 is a block diagram of the document processing apparatus according to the embodiment;

FIG. 3 is an explanatory diagram of a document structure used in the embodiment.

FIG. 4 is an explanatory diagram of a window displaying a sentence structure according to the embodiment;

FIG. 5 is a flowchart of a manual classification process according to the embodiment.

FIG. 6 is a flowchart of an index creation process according to the embodiment.

FIG. 7 is an explanatory diagram of an activation value of an element according to the embodiment.

FIG. 8 is a flowchart of an active diffusion process according to the embodiment.

FIG. 9 is a flowchart of a central activation value update process according to the embodiment.

FIG. 10 is an explanatory diagram of a classification window according to the embodiment.

FIG. 11 is an explanatory diagram of a browsing window according to the embodiment.

FIG. 12 is an explanatory diagram of a classification model according to the embodiment.

FIG. 13 is a flowchart of an automatic classification process according to the embodiment.

FIG. 14 is a flowchart of automatic classification according to the embodiment.

FIG. 15 is a flowchart of a word meaning association degree calculation process according to the embodiment;

FIG. 16 is an explanatory diagram of a degree of association between meanings according to the embodiment.

FIG. 17 is an explanatory diagram of a display example of a browsing window according to the embodiment.

FIG. 18 is an explanatory diagram of a display example including a summary of a browsing window according to the embodiment.

FIG. 19 is an explanatory diagram of a display example including copyright information of a browsing window according to the embodiment.

FIG. 20 is an explanatory diagram of a display example including a summary and copyright information of a browsing window according to the embodiment.

FIG. 21 is a flowchart of a summary creation / display process according to the embodiment.

FIG. 22 is an explanatory diagram of an example of a tag file according to the embodiment;

FIG. 23 is an explanatory diagram of an example of a tag file according to the embodiment;

FIG. 24 is an explanatory diagram of a configuration of a document processing system according to an embodiment.

[Explanation of symbols]

1 document processing device, 2 authoring device, 3 server, 3a database, 4 document provider, 6 communication line, 7 service providing unit, 11 control unit, 13 C
PU, 14 RAM, 15 ROM, 12 interfaces, 21 communication unit, 20 input unit, 30 display unit,
31 recording / reproducing unit, 32 recording medium, 34 HDD

Claims (6)

[Claims] An abstract creation unit capable of creating an abstract of an electronic document, a control for presenting and outputting the abstract created by the abstract creation unit, and an electronic document serving as a source of the abstract And an output control unit that controls so that the copyright information indicated by the tag is also output when the tag indicating the copyright information is added to the document processing apparatus. 2. The method according to claim 1, wherein when the tag indicating the copyright information is added to the electronic document from which the summary is created, the summary creating unit adds the tag indicating the copyright information to the created summary. The document processing apparatus according to claim 1, wherein: 3. An abstract creation procedure for creating an abstract sentence for an electronic document, and the summary sentence created in the abstract creation procedure is presented and output, and copyright information is indicated on the electronic document from which the abstract is based. A document processing method, comprising: when a tag is added, an output control procedure for presenting and outputting copyright information indicated by the tag. 4. In the abstract creation procedure, when a tag indicating copyright information is added to an electronic document from which an abstract is created, a tag indicating copyright information is added to the created abstract. 4. The document processing method according to claim 3, wherein: 5. An abstract creation procedure for creating an abstract sentence for an electronic document, and the summary sentence created in the abstract creation procedure is presented and output, and copyright information is indicated on the electronic document from which the abstract is based. A recording medium characterized by recording an output control procedure for presenting and outputting copyright information indicated by the tag when the tag is added, and an operation control program for performing the following. 6. In the abstract creation procedure, when a tag indicating copyright information is added to an electronic document from which the abstract is created, a tag indicating copyright information is added to the created abstract. The recording medium according to claim 5, wherein the operation control program is recorded.